Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook

B Clerckx, Y Mao, Z Yang, M Chen, A Alkhateeb… - arXiv preprint arXiv …, 2024 - arxiv.org
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …

Semi-decentralized federated learning with cooperative D2D local model aggregations

FPC Lin, S Hosseinalipour, SS Azam… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Federated learning has emerged as a popular technique for distributing machine learning
(ML) model training across the wireless edge. In this paper, we propose two timescale …

Multi-stage hybrid federated learning over large-scale D2D-enabled fog networks

S Hosseinalipour, SS Azam, CG Brinton… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
Federated learning has generated significant interest, with nearly all works focused on a
“star” topology where nodes/devices are each connected to a central server. We migrate …

A survey of resource management in D2D communication for B5G networks

AMH Alibraheemi, MN Hindia, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the vast rise of users, the variety of application requirements, and the enormous
necessity for ubiquitous connectivity anytime and anywhere, integration of new technologies …

Online computation offloading and trajectory scheduling for UAV-enabled wireless powered mobile edge computing

H Hu, X Zhou, Q Wang, RQ Hu - China Communications, 2022 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) architecture is
expected to be a powerful technique to facilitate 5G and beyond ubiquitous wireless …

Distributed resource allocation in underlay multicast D2D communications

M Elnourani, S Deshmukh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multicast device-to-device communications operating underlay with cellular networks is a
spectral efficient technique for disseminating data to nearby receivers. However, due to the …

Spectrum Efficient Mode Selection and Resource Allocation Optimization for D2D Communication in HetNet: A Multi-Agent Q-Learning Approach

AMH Alibraheemi, MN Hindia, TFTMN Izam… - IEEE …, 2024 - ieeexplore.ieee.org
Device-to-Device (D2D) communication has shown great potential as a technology for
beyond-fifth-generation (B5G) heterogeneous networks (HetNets) to meet the increasing …

Connectivity-aware semi-decentralized federated learning over time-varying D2D networks

R Parasnis, S Hosseinalipour, YW Chu… - Proceedings of the …, 2023 - dl.acm.org
Semi-decentralized federated learning blends the conventional device-to-server (D2S)
interaction structure of federated model training with localized device-to-device (D2D) …

Energy-Efficient Connectivity-Aware Learning Over Time-Varying D2D Networks

R Parasnis, S Hosseinalipour, YW Chu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Semi-decentralized federated learning blends the conventional device-to-server (D2S)
interaction structure of federated model training with localized device-to-device (D2D) …

Impact of antenna distribution on spectral and energy efficiency of cell-free massive MIMO with transmit power control algorithms

M Ito, I Kanno, K Yamazaki, Y Kishi… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Cell-free massive multiple-input multiple-output (CF-mMIMO) systems are expected to
provide faster and more robust connections to user equipments by cooperation of a massive …